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What is the term when a variable unaccounted for in an experiment effects the results in experimental psychology?
confounding variable
What is the difference between moderating and extraneous variables?
Extraneous variable a.k.a. Confounding vaiable is a variable that affects an independent variable n also afects a dependent variable at d same time confounding relatnship btn the independent and dependent variable. Mediating variable a.k.a. Intervening variable, it is a variable forming a link btn two variables that are causualy conected.
What are Confounding Variables?
In any experiment there are many kinds of variables that will effect the experiment. The independent variable is the manipulation for the experiment and the dependent variable is the measure you take from that experiment. Confounding variables are things in which have an effect on the dependent variable, but were taken into account in the experimental design. For example, you want to know if Drug X has an effect on causing sleep. The experimenter must take care to design the experiment so that he can be very sure that the subjects in the study fell asleep because of the influence of his Drug X, and that the sleepiness was not caused by other factors. Those other factors would be confounding variables.
What is meant by confounding in math?
In statistics a confounding variable is one which can give rise to spurious correlations. For example, my age is fairly well correlated with the number of television sets in the UK. This is not because my getting older sells more TV sets, nor is it because the sale of TV sets makes me grow older. The real reason is that both these are correlated with time and, as the years pass, both increase. So, time is the confounding variable which gives rise to an apparent relationship between TV sets and my age. Confounding variables can have serious effects when statistical methods are being used to develop a cause-and-effect model. In truth, there may be no direct causal relationship, only two independent relationships with a third variable - the confounding factor.
What third variables might there be that would cause a spurious correlation in the survey results?
The third variable could be one which is correlated to both variables. These are called confounding variable. For example, in the UK you could find a correlation between coastal air pollution and ice cream sales. This is not because eating ice cream causes air pollution nor because air pollution causes people to eat ice cream. The confounding variable is the temperature. Warm weather gets people to drive to the sea!
What is the meaning of confounding in statistics?
In statistics. a confounding variable is one that is not under examination but which is correlated with the independent and dependent variable. Any association (correlation) between these two variables is hidden (confounded) by their correlation with the extraneous variable. A simple example: The proportion of black-and-white TV sets in the UK and the greyness of my hair are negatively correlated. But that is not because the TV sets are becoming colour sets and so my hair is loosing colour, nor the other way around. It is simply that both are correlated with the passage of time. Time is the confounding variable in this example.
What is the term when a variable unaccounted for in an experiment effects the results in experimental psychology?
confounding variable
What is Situation-Relevant Confounding Variable?
A situation-relevant confounding variable is a third variable that is related to both the independent and dependent variables being studied, which can lead to a spurious relationship between them. It is crucial to identify and control for situation-relevant confounding variables in research to ensure that the true relationship between the variables of interest is accurately captured.
What is the confounding variable in behavior before and after an alcohol treatment program?
Drinking
What is the difference between moderating and extraneous variables?
Extraneous variable a.k.a. Confounding vaiable is a variable that affects an independent variable n also afects a dependent variable at d same time confounding relatnship btn the independent and dependent variable. Mediating variable a.k.a. Intervening variable, it is a variable forming a link btn two variables that are causualy conected.
What kind of study When performing an experiment to control for confounding variables such as gender the subjects are separated by that possible confounding variable?
The study described is a stratified randomization or stratified design. In this approach, subjects are divided into groups based on the confounding variable (in this case, gender) before random assignment to experimental conditions. This method helps ensure that the potential influence of the confounding variable is balanced across the treatment groups, thereby enhancing the validity of the experiment's results. By controlling for gender, researchers can more accurately assess the effects of the independent variable on the dependent variable.
Is testing a confounding variable when evaluating the effectiveness of an alcohol treatment program?
Yes.
What are Confounding Variables?
In any experiment there are many kinds of variables that will effect the experiment. The independent variable is the manipulation for the experiment and the dependent variable is the measure you take from that experiment. Confounding variables are things in which have an effect on the dependent variable, but were taken into account in the experimental design. For example, you want to know if Drug X has an effect on causing sleep. The experimenter must take care to design the experiment so that he can be very sure that the subjects in the study fell asleep because of the influence of his Drug X, and that the sleepiness was not caused by other factors. Those other factors would be confounding variables.
What is a non-example of control variable?
A non-example of a control variable is a variable that is not intentionally kept constant or manipulated in an experiment. For example, in a study examining the effects of different teaching methods on student performance, the color of the walls in the classroom would be a non-example of a control variable because it is not being controlled or manipulated by the researcher. Non-examples of control variables can introduce confounding factors that may impact the results of an experiment.
What is meant by confounding in math?
In statistics a confounding variable is one which can give rise to spurious correlations. For example, my age is fairly well correlated with the number of television sets in the UK. This is not because my getting older sells more TV sets, nor is it because the sale of TV sets makes me grow older. The real reason is that both these are correlated with time and, as the years pass, both increase. So, time is the confounding variable which gives rise to an apparent relationship between TV sets and my age. Confounding variables can have serious effects when statistical methods are being used to develop a cause-and-effect model. In truth, there may be no direct causal relationship, only two independent relationships with a third variable - the confounding factor.
What is the name of a factor that seems to disappear?
A factor that seems to disappear is often referred to as a "confounding variable." This is a variable that is not of primary interest in a study, but can influence the results if not properly controlled for. Identifying and addressing confounding variables is crucial to ensure the accuracy and validity of research findings.
What do you call a factor that confuses the result of an experiment?
A factor that confuses the result of an experiment is called a confounding variable. This variable affects the dependent variable and makes it difficult to determine the true effect of the independent variable being studied. Controlling for confounding variables is important in ensuring the validity and reliability of experimental results.
